carsonfarmer

Joined 9 years ago

Karma
251
Submissions
61
Member since
Mar 24
[ my public key: https://keybase.io/carsonfarmer; my proof: https://keybase.io/carsonfarmer/sigs/hVfF8r4JMxN6MuJfXoqMltJaubDVJppYZJLwh_SXwHc ]
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Recent submissions

Comment · 2 years ago
Whoah, I totally hadn't taken the thought experiment this far. This is fantastic! I'd like to explore this further, interested in a quick research chat/sync some time? My email is linked from the paper.
Comment · 2 years ago
Pretty cool to see this here. My co-author and I haven't actually officially "released" this yet, so quite neat to see where it is organically showing up! Feedback appreciated y'all!
Comment · 2 years ago
Comment · 2 years ago
You're right, we should delve into a comparison more with respect to prolly trees. We actually have a lot of experience with prolly trees, and have found, in practice, that you need to do a lot of the things that folks like dolt have had to do to make them work nicely. Whereas with G-trees, the basic implementation turns out to be quite nice (and extremely easy to reason about).

One of the biggest benefits of G-trees in my mind, is their ease of implementation. Additionally, we did a lot of work to explore their statistical properties, which doesn't exist for prolly trees (though in hindsight, we have done this, so should probably write it up formally).

Comment · 2 years ago
Yes this exactly. Another really simple way to do this, is to use alternating leading and trailing zero counts in the hash in your nested G-trees. Simple, and pretty effective.
Comment · 2 years ago
Whoah, cool. I'm one of the authors of the geometric search tree paper, and we totally hadn't see that paper, but will for sure dig in! Thanks for mentioning it.
Comment · 2 years ago
Ok, this is quite cool. Also love the name.
Comment · 3 years ago
Super fun example of the combination of AI and DB. You want to get back exactly what you put in, use a DB! You want something extrapolated from what you put in, AI is pretty great! Also Fireproof is :fire:
Comment · 6 years ago
That's awesome, dig right in! And don't hesitate to reach out on our slack: slack.textile.io. We're under active development, so if there's something missing, or a feature that's lacking in documentation (there are, but we're working on it!) let us know.
Comment · 6 years ago
Just a bunch of useful tools and ideas our team has picked up along the way while being remote only for the past few years.
Comment · 6 years ago
Super excited to see this out the in the wild! Been following this project for a while now - huge fan of the vision, huge fan of the UX. Congrats!
Comment · 7 years ago
You can email contact@ textile.io for a referral :)

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